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DaviddTech
DaviddTech
Traders should know
  • Home
  • Free Indicators
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    • Documentation
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    • Bug & Feature Tracker
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traderdev ttmstrend btcusdt 45m 20.05.2025

  • Homepage
45 minutes @traderdev
● Live

TTMSTREND BTCUSDT 45M 20.05.2025

Trading Pair
BTC
Base Currency
by DaviddTech - July 10, 2025
0

Performance Overview

Live Trading
Last 7 days: +0% Updated 9 minutes ago
Total Return Primary
2876.74%
Net Profit Performance
Win Rate Success
42.15%
Trade Success Ratio
Max Drawdown Risk
🔒
Risk Control
Profit Factor Efficiency
1.936
Risk-Reward Ratio
Incubation Delta Live
70.91%
Live vs Backtest
Total Trades Volume
121
Executed Trades

Equity Curve Analysis

Performance comparison between backtest and live trading results

Backtest Performance
Live Trading
First Trade
Apr 29, 2020
1,924
Days
121
Trades
Last Trade
Jul 25, 2025
ℹ️ All backtests include realistic trading fees and slippage

Strategy Analysis & Data

Comprehensive performance metrics and detailed analysis

Performance Metrics

Detailed trading performance analysis and key metrics

Trades per Day

Key Performance Metrics

  • First Traded Date: 2020-04-29 12:45:00
  • Sharpe Ratio: 0.32
  • Sortino Ratio: 1.21
  • Calmar: 0.00
  • Longest DD Days: 0.00
  • Volatility: 0.00
  • Skew: 0.00
  • Kurtosis: 0.00
  • Expected Daily: 0.00
  • Expected Monthly: 0.00
  • Expected Yearly: 0.00
  • Kelly Criterion: 0.00
  • Daily Value-at-Risk: 0.00
  • Expected Shortfall (cVaR): 0.00
  • Last Trade Date: 2025-07-25 20:15:00
  • Max Consecutive Wins: 0
  • Number Winning Trades 51
  • Max Consecutive Losses: 0
  • Number Losing Trades: 70

Trade Analysis

Individual trade breakdown and analysis

List of Trades

Key : Pink Background = Live Trades | Black Background = Backtest Trades

Monthly Profit & Loss

Monthly performance breakdown with profit/loss indicators


Standard Monthly Profit

This shows the total profits or losses of the strategy after closing a trade and the percentage gain or loss of the strategy over time.

Incubation Period
Live Trading

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Year/MonthJanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOctoberNovemberDecember
20200.00%0.00%0.00%8.35%-3.01%9.85%18.03%2.25%-12.47%48.31%10.39%13.19%
20210.00%-3.30%9.38%-16.17%-4.39%2.51%9.24%-4.70%12.74%0.00%-16.28%-1.49%
202214.86%16.31%-7.15%0.00%9.07%-4.49%-7.13%-5.85%-4.38%0.00%-3.80%31.44%
202340.59%10.64%-6.46%36.66%5.36%18.92%0.00%-19.94%-19.76%41.22%-5.55%17.76%
2024-7.15%91.27%-6.78%12.69%8.25%0.00%9.55%-8.93%-7.84%19.13%12.12%-3.00%
20250.45%••••Login to see results••••Login to see results••••Login to see results••••Login to see results••••Login to see results••••Login to see results••••Login to see results0.00%0.00%0.00%0.00%

Live Trading Statistics

Real-time trading performance and statistics

Live Trades Stats

4

Number of Trades

6.79%

Cumulative Returns

25%

Win Rate

2025-05-20

🟠 Incubation started

🛡️

7 Days

12.31%

30 Days

15.88%

60 Days

30.97%

90 Days

Strategy Audit & Screenshots

Visual verification of strategy performance with TradingView screenshots

  • Performance (Backtest)
  • Performance (Forward Test)
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Waiting for file

TradingView Screenshots

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⚪️ Other Backtest

AI Quantitative Analysis

Advanced AI-powered insights and strategy analysis

AI Quantitative Analyst

Ready to analyze
Risk Analysis
Performance Metrics
Market Insights
🤖
Hello! I'm your AI Quantitative Analyst. I can provide deep insights into this trading strategy's performance, risk metrics, and market behavior. What would you like to know?
Just now
📊

Comprehensive Strategy Analysis

AI Generated

Performance Analysis

Upon reviewing the provided QuantStats report, several performance metrics stand out that merit attention:

Metric Strategy
Net Profit 2876.74%
Gross Profit 5951.23%
Gross Loss 3074.48%
Sharpe Ratio 0.324
Profit Factor 1.936
Maximum Drawdown 43.69%
Percent Profitable 42.15%
Average P&L 1.42%

The strategy shows a significant net profit of 2876.74%, which is impressive. However, while the profit factor of 1.936 demonstrates decent efficiency, the Sharpe ratio of 0.324 is below the desired threshold of 0.5, indicating less than optimal risk-adjusted returns. Additionally, the maximum drawdown of 43.69% slightly exceeds the preferred ceiling of 40%, pointing to potential issues with drawdown management.

Strategy Viability

Despite its high net profit, the strategy shows room for improvement in risk-adjusted returns, as evidenced by the Sharpe ratio. The current market conditions under which this strategy was tested may have led to its profitability, yet these are conditions that may not consistently persist in the future. Hence, careful consideration must be given to the conditions under which the strategy is deployed. Its viability for real-world trading primarily hinges on improving its risk-adjusted metrics to ensure resilience against market fluctuations.

Risk Management

The strategy seems to lack adequate risk management, as evidenced by the high maximum drawdown. Key areas for improvement include:

  • Adjusting leverage use to reduce the likelihood of severe drawdowns, as excessive leverage can magnify both gains and losses.
  • Implementing better stop-loss mechanisms to protect gains and limit losses effectively.
  • Exploring diversified trading instruments to reduce exposure to specific market risks.

Improvement Suggestions

To enhance the strategy's performance and robustness, consider the following recommendations:

  • Optimize leverage to maintain returns while reducing exposure to high drawdowns.
  • Integrate additional technical indicators or advanced analytics to refine trade entries and exits.
  • Perform forward-testing and scenario analysis to assess the strategy's performance under varied market conditions.
  • Consider backtesting the strategy with different parameters to find an optimal balance between profit and risk.

Final Opinion

In summary, while the strategy demonstrates strong profitability, it is accompanied by moderate risk-adjusted performance metrics. The potential for improvement is significant, particularly in the areas of risk management and volatility control. By enhancing these aspects, the strategy can be positioned for more sustainable performance.

Recommendation: Continue testing and refining the strategy with a focus on optimizing risk management practices to boost the Sharpe ratio and reduce maximum drawdown, making the strategy robust for real-world trading conditions.

⚡ Generated in 3.2s
🎯 95% Confidence
📈 Risk-Reward Analysis
📊 Performance Metrics
🎯 Market Comparison
AI is analyzing the strategy...

Advanced Markov Motor Analysis

Sophisticated analysis of strategy edge degradation, rolling metrics, and Markov chain properties

Analysis Controls

Live Analysis
20 trades
1.2 PF
Rolling Performance Metrics
📈
Current Trend
Analyzing...
⚡
Edge Strength
Calculating...
Markov State Transitions
W L Win/Loss States
Transition Probabilities
From/To
Win
Loss
Win
0.00
0.00
Loss
0.00
0.00
Edge Decay Analysis
Edge Intact
Consistency Score
--
Stability Index
--
Trend Strength
--
Return Distribution Analysis
Skewness --
Kurtosis --
Tail Risk --
Market Regime Detection
Analyzing...
Favorable Regime %
--
Avg Regime Duration
--
Current Regime Age
--

Markov Intelligence Insights

Analyzing strategy patterns...

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